Multi-branch flow calibration cooperative control method and control system
A collaborative control and multi-branch technology, applied to controllers with specific characteristics, electric controllers, etc., can solve problems such as inability to achieve energy saving effects, lack of joint control of centrifugal pumps and regulating valves, and loss of more power, etc., to achieve Improve control accuracy and anti-interference ability, shorten response time, and solve the effect of large flow fluctuations
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Embodiment 1
[0062] basically as attached figure 1 Shown: a multi-branch flow calibration collaborative control method and control system, comprising the following steps:
[0063] S1: Control the opening of each electric regulating valve through the neural network PID controller;
[0064] S2: Control the centrifugal pump structure through fuzzy PID speed controller;
[0065] S3: Set the flow range interval according to the actual control requirements, and use the split-range coordinated control for control; realize the coordinated control of multi-branch flow;
[0066] S4: The lower computer collects the flow control error, and sends the collected data to the neural network PID controller and the fuzzy PID speed controller.
[0067] The design method of the neural network PID controller is as follows:
[0068] S2.1: The processor obtains the relevant parameters of the control valve and brings it into the dynamic balance equation of the DC motor:
[0069]
[0070] In the formula, R ...
Embodiment 2
[0116] A multi-branch flow calibration collaborative control control system includes a memory, a processor, and the neural network PID controller and the fuzzy PID speed controller of the first embodiment; the memory is used to store the neural network PID controller and the fuzzy PID speed control. The processor is connected with the neural network PID controller and the fuzzy PID speed controller respectively and processes the data.
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